waltervillarreal opened a new issue, #60059:
URL: https://github.com/apache/airflow/issues/60059
### Apache Airflow version
3.1.5
### If "Other Airflow 3 version" selected, which one?
_No response_
### What happened?
What happened: I am running Airflow 3.1.3 using Docker and Git Bundles to
sync DAGs. When I push a DAG file that contains a logical runtime error during
parsing (specifically an UnboundLocalError), the following happens:
1. The DAG disappears from the Airflow UI (Grid/Home).
2. The "Import Errors" tab/list is empty.
3. The table import_error in the database is empty.
4. However, the dag-processor logs clearly show that the error was caught
but seemingly failed to persist to the DB.
It seems that specific runtime errors inside the DAG factory prevent the
GitDagBundle from correctly mapping the physical file path back to the bundle
URI for the database insertion, causing a silent failure in the UI.
### What you think should happen instead?
The DAG should appear in the "Import Errors" list in the UI with the stack
trace, just like it does for LocalDagBundle or simple SyntaxErrors.
### How to reproduce
1. Configure Airflow 3 with a GitDagBundle.
My dag bundle config:
```json
[dag_processor]
dag_bundle_storage_path = /opt/airflow/dags_bundle
dag_bundle_config_list = [
{
"name": "gitlab_airflow_prod",
"classpath": "airflow.providers.git.bundles.git.GitDagBundle",
"kwargs": {
"tracking_ref": "main",
"subdir": "dags",
"git_conn_id": "gitlab_airflow_prod",
"view_url_template":
"https://localgitlab/airflow/pr-airflow/-/tree/main";
}
},
{
"name": "dags-folder",
"classpath": "airflow.dag_processing.bundles.local.LocalDagBundle",
"kwargs": {}
}
]
refresh_interval = 60
parsing_processes = 2
```
2. Push the following DAG to the repository:
```py
from airflow.decorators import dag, task
from datetime import datetime
@dag(
dag_id="reproduce_unbound_error",
start_date=datetime(2025, 1, 1),
schedule=None,
catchup=False
)
def invalid_dag_logic():
# Usage before assignment triggers UnboundLocalError at parse time
print(f"Accessing var: {my_var}")
@task
def t1(): pass
t1()
my_var = "defined_later"
invalid_dag_logic()
```
3. Observe that the DAG does not appear in the UI and no import errors are
reported.
Operating System: Linux (Docker)
Deployment: Docker Compose / Official Image
Relevant logs: Logs from dag-processor:
```json
{"timestamp":"2026-01-02T18:11:28.392123Z","level":"info","event":"Filling
up the DagBag from
/opt/airflow/dags_bundle/gitlab_airflow_prod/tracking_repo/dags/test/test.py","logger":"airflow.models.dagbag.DagBag","filename":"dagbag.py","lineno":593}
{"timestamp":"2026-01-02T18:11:28.416660Z","level":"error","event":"Failed
to import:
/opt/airflow/dags_bundle/gitlab_airflow_prod/tracking_repo/dags/test/test.py","logger":"airflow.models.dagbag.DagBag","filename":"dagbag.py","lineno":415,"error_detail":[{"exc_type":"UnboundLocalError","exc_value":"cannot
access local variable 'variable_problem' where it is not associated with a
value","exc_notes":[],"syntax_error":null,"is_cause":false,"frames":[{"filename":"/home/airflow/.local/lib/python3.12/site-packages/airflow/models/dagbag.py","lineno":405,"name":"parse"},{"filename":"<frozen
importlib._bootstrap_external>","lineno":999,"name":"exec_module"},{"filename":"<frozen
importlib._bootstrap>","lineno":488,"name":"_call_with_frames_removed"},{"filename":"/opt/airflow/dags_bundle/gitlab_airflow_prod/tracking_repo/dags/test/test.py","lineno":31,"name":"<module>"},{"filename":"/home/airflow/.local/lib/python3.12/site-packages/airflow/sdk/definitions/dag.py","lineno":1557,"name":"facto
ry"},{"filename":"/opt/airflow/dags_bundle/gitlab_airflow_prod/tracking_repo/dags/test/test.py","lineno":16,"name":"invalid_dag_logic"}],"is_group":false,"exceptions":[]}]}
```
### Operating System
Red Hat Enterprise Linux release 9.6 (Plow)
### Versions of Apache Airflow Providers
apache-airflow-providers-git = 0.0.9
### Deployment
Docker-Compose
### Deployment details
_No response_
### Anything else?
_No response_
### Are you willing to submit PR?
- [ ] Yes I am willing to submit a PR!
### Code of Conduct
- [x] I agree to follow this project's [Code of
Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
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